Predicting bottlenecks in manufacturing shops through capacity and demand observations from multiple perspectives
by Juan Tang; Bang-yi Li; Zhi Liu
International Journal of Manufacturing Technology and Management (IJMTM), Vol. 32, No. 4/5, 2018

Abstract: Uncertain factors in modern multi-variety and small-lot manufacturing make it extremely challenging to optimise and control the production process. Researchers propose a bottleneck-based optimisation method to reduce perplexity and enhance optimisation. Detecting bottlenecks is a crucial first step in this method and its accuracy has great impacts on production optimisation. This study proposes an independent bottleneck degree to describe the probability of a manufacturing cell becoming a system bottleneck, and model it using capacity and demand observations from the perspectives of capability, quality, and cost. Based on the independent bottleneck degree, we design a closed-loop multi-bottleneck prediction method, which can solve the responsibility cognisance problem resulting from correlation among manufacturing cells. Therefore, it can predict bottlenecks, especially multiple bottlenecks, accurately compared to existing methods.

Online publication date: Wed, 25-Jul-2018

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